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Call for Predictive Maintenance Solutions
Is your startup working on predictive maintenance solutions?
If so, this call for projects should be of interest to you!
EBN member Paul Wurth InCub has been investigating the Predictive Maintenance domain as this area will represent a double digit billion market in a near future. In fact, predictive maintenance allows to determine the condition of in-service equipment in order to predict when maintenance should be performed. The benefits of this approach against routine and time-based preventive maintenance is that it drastically reduces costs.
Paul Wurth InCub has been diving into the technologies that are designed for predictive maintenance, and is calling startups working in new and disruptive fields to submit their applications. Some of the main domains of interests are:
- Vibration analysis
- Sensors & Monitoring
- Big Data / IoT
- Machine learning (ML) / deep learning (DL)
- Predictive analytics
- Spare parts management
APPLY BY OCTOBER 30
Please submit your application describing your technology value proposition by October 30 2017. The team will then review your application and be in touch if they feel you’re on to something promising! If so, you will be invited for an interview with the selection jury in Luxembourg.
You will get the opportunity to develop your business by a startup-corporate collaboration with Paul Wurth S.A. and their #InduTech members. During the incubation period in InCub, you will get supported by experts. For more information please visit www.indu.tech
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